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logistic regression, Evaluation Metrics, image, image - Coggle Diagram
logistic regression
Classification algorithms
Decision Tree classifier
Random Forest
SVM =regression
SVC= support vector classifier
multi class classifier (target>2)
multinomial
‘lbfgs’, ‘sag’, ‘saga’ and ‘newton-cg’ solvers
Binary classifier (target 0,1)
Evaluation Metrics
Accuracy
=(TP+TN)/Total dataset
Dataset balanced
nbr of samples of 0 = nbr of samples of1
Precision
=TP/(TP+FP)
R-call
(True Positive Rate)
=TP/(TP+FN)
F1-score
=2 x (recall x precision)/(recall + precision)
Unbalanced data
